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Tier-1 employer, Bangalore metro, and mid-level generalist data engineer title amplify competition.
Databricks, PySpark, and cloud skills are highly transferable across industries.
Explicit 4-8 years and mandatory Databricks, PySpark, Delta Lake, and cloud skills increase screening strictness.
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Own and develop ETL/ELT pipelines using Databricks with Python, PySpark, and SQL to support client data and analytics operations.
Optimize Databricks and Spark performance including tuning and leveraging Delta Lake features like Unity Catalog, Delta Live Tables, and Auto Loader.
Operate within AWS/Azure environments to implement Lakehouse architectures and ensure data quality, governance, and secure data management.
4-8 years of relevant work experience in data engineering or related roles.
Proficient in Databricks platform with strong coding skills in Python, PySpark, and SQL.
Experience working on AWS or Azure cloud platforms.
Educational qualification of B.Tech/M.Tech/MBA/MCA mandatory.
Experienced in Spark performance tuning and optimization within data lakehouse environments.
Familiarity with advanced Databricks features like Photon, Databricks SQL, MLflow, and CI/CD pipelines facilitates success.
Domain experience in healthcare is preferred but not mandatory; ability to work in advisory data & analytics contexts is advantageous.